Video data analysis method based on AI technology

Abstract

The invention discloses a video data analysis method based on AI technology. The method comprises the following steps: step 1, establishing a video data acquisition module; step 2, establishing a video data storage library; step 3, establishing a video data extraction module; step 4, establishing a video data comparison module; step 5, establishing a video data analysis module; and 6, analyzing the video data through an AI technology. According to the invention, video data is analyzed through the AI identification module so that manual analysis is replaced. Therefore, efficiency is high, a result is fast, and errors are not easy to occur. The video data is split into the image data, the dynamic video data and the sound data, and the image data, the dynamic video data and the sound data canbe separately compared and analyzed, thereby facilitating the detailed comparison and analysis, avoiding errors, and being high in correspondence and quicker in comparison and analysis. The structurecan be well observed and analyzed through a touch display screen, commands can be input for operation, control is conducted through the controller, intelligence is high, and the method is suitable for popularization.

Description

technical field [0001] The present invention relates to the technical field of video data analysis methods, in particular to a video data analysis method based on AI technology. Background technique [0002] Video data refers to a continuous image sequence, which is essentially composed of a group of continuous images, and for the images themselves, there is no structural information except for the order in which they appear. [0003] Video data analysis is often directly analyzed and compared by computer or manually to find out the differences between different videos, but it is extremely time-consuming and labor-intensive in actual comparison and analysis, and the efficiency is low. [0004] Moreover, images, dynamic videos and sounds are often mixed in the process of video data analysis, so it is difficult to compare them at the same time, and there is no technology for comparing them separately in the prior art. [0005] For this reason, a video data analysis method bas...

AI Technical Summary

Problems solved by technology

[0003] Video data analysis is often directly analyzed and compared by computer or manually to find out the differences between different videos, but it is extremely time-consuming and labor-intensive in actual comparison and analysis, and the efficiency is low

[0004] Moreover, the video data analysis process is often mixed with images, dynamic videos and sounds, making it difficult to compare them at the same time, and there is no separate comparison technology in the prior art

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